Soheil Ganjefar

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The performance of a wave-based teleoperator is heavily dependent on the amount of time delay present in the system. Although wave variables provide a very promising method to establish teleoperation in the presence of any time delay, tracking error in a wave-based teleoperator will be increased by increasing time delay. In this paper, we introduce a new(More)
This paper aims to propose a stable fuzzy wavelet neural-based adaptive power system stabilizer (SFWNAPSS) for stabilizing the inter-area oscillations in multi-machine power systems. In the proposed approach, a self-recurrent Wavelet Neural Network (SRWNN) is applied with the aim of constructing a self-recurrent consequent part for each fuzzy rule of a(More)
This paper presents a new method to design power system stabilizer (PSS) using fuzzy wavelet neural network (FWNN) for stability enhancement of a multi-machine power system. In the proposed approach, Wavelet Neural Network (WNN) is used to construct a well localized in both time and frequency domains consequent part for each fuzzy rule of a(More)
In this study, we introduce an indirect adaptive fuzzy wavelet neural controller (IAFWNC) as a power system stabilizer to damp inter-area modes of oscillations in a multi-machine power system. Quantum computing is an efficient method for improving the computational efficiency of neural networks, so we developed an identifier based on a quantum neural(More)
This paper presents a new robust adaptive inverse control approach for a force-reflecting teleoperation system with varying time delay. In this approach, using the Smith predictor idea, an impedance controller and an adaptive inverse controller are designed, respectively, for the master and slave robots such that the stability and performance of the(More)
In this paper a new structure for teleoperation has been proposed. An optimal control has been designed in slave subsystem for reducing position error between master and slave. In this structure reference inputs are position and velocity of master and states are position and velocity of slave. The performance index in this structure contains tracking part(More)